Methods of Profile Cloning Detection in Online Social Networks

被引：3

作者：

Zabielski, Michal ^{[1
]}

Kasprzyk, Rafe ^{[1
]}

Tarapata, Zbigniew ^{[1
]}

Szkolka, Krzysztof ^{[1
]}

机构：

[1] Mil Univ Technol, Inst Comp & Informat Syst, Warsaw, Poland

来源：

20TH INTERNATIONAL CONFERENCE ON CIRCUITS, SYSTEMS, COMMUNICATIONS AND COMPUTERS (CSCC 2016) | 2016年 / 76卷

关键词：

SIMILARITY;

D O I：

10.1051/matecconf/20167604013

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

With the arrival of online social networks, the importance of privacy on the Internet has increased dramatically. Thus, it is important to develop mechanisms that will prevent our hidden personal data from unauthorized access and use. In this paper an attempt was made to present a concept of profile cloning detection in Online Social Networks (OSN) using Graph and Networks Theory. By analysing structural similarity of network and value of attributes of user personal profile, we will be able to search for attackers which steal our identity.

引用

页数：6

共 16 条

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